暖通空调>期刊目次>2025年>第5期

基于白鲸优化算法的工业园区多能耦合联供系统优化研究

Research on optimization of multi-energy coupling combined supply system in industrial parks based on Beluga Whale optimization algorithm

王浩博[1] 王德波[1] 冯立德[1] 柴志刚[2] 李宏强[3]
[1]昆仑能源有限公司,北京;[2]昆仑能源有限公司吉林分公司,长春;[3]昆仑能源有限公司北京分公司,北京

摘要:

为实现工业园区的经济低碳供能,利用白鲸优化算法对3种联供系统进行了优化对比分析,得出适用于工业园区的最优联供系统,并分析了最优联供系统的典型日能量逐时分布,以及天然气价格对系统优化配置、CO2排放量及弃热量的影响。结果表明,包含燃气轮机、燃气锅炉、储热装置、风电和光伏的系统具有最优的经济性能,其成本相比天然气驱动的联供系统降低了14.4%;考虑装机容量上限时,随着天然气价格升高,燃气轮机容量和弃热量逐渐降低,光伏逐渐增加直至达到容量上限,然后风电逐渐增加,而系统年CO2排放量呈现先减小后增大趋势;若不考虑装机容量上限,随着天然气价格升高,相比前者,系统中风电会推迟使用,而CO2排放量的拐点会向后推移。

关键词:多能耦合联供系统;容量配置优化;白鲸算法;工业园区;能量逐时分布;CO2排放量;天然气价格

Abstract:

To achieve the economic and low-carbon energy supply in an industrial park, a comparative optimization analysis of three combined supply systems is conducted based on the Beluga Whale optimization algorithm, and the optimal combined supply system suitable for the industrial park is obtained. The typical daily energy hourly distribution of the optimal system as well as the impact of natural gas prices on the system optimization configuration, CO2emissions, and rejected heat are analysed. The results show that the system comprising gas turbines, gas boilers, thermal storage devices, wind turbines, and photovoltaic cells has the best economic performance, with a cost reduction of 14.4% compared with the natural gas-driven combined supply system. When considering the upper limit of the equipment capacity, with natural gas prices increasing, the gas turbine capacity and rejected heat gradually decrease, the photovoltaic cell capacity gradually increases until reaching the upper limit of capacity, and then the wind turbine capacity gradually increases, meanwhile, the annual CO2emissions of the system show a trend of first decreasing and then increasing. When not considering the upper limit of the equipment capacity, with natural gas prices increasing, wind turbines in the system would be delayed in use compared with the previous scenario, and the inflection point of CO2emissions will shift backward.

Keywords:multi-energy coupling combined supply system; capacity configuration optimization; Beluga Whale algorithm; industrial park; energy hourly distribution; CO2 emission; natural gas price

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